Open AccessDay-ahead Coordinated Operation of a Wind-Storage System Considering Wind Forecast Uncertainty
Author(s) -
Nhi Thi Ai Nguyen,
Duong Le
Publication year - 2021
Publication title -
engineering, technology and applied science research/engineering, technology and applied science research
Language(s) - English
Resource type - Journals
eISSN - 2241-4487
pISSN - 1792-8036
DOI - 10.48084/etasr.4176
Subject(s) - wind power , energy storage , electric power system , computer science , reliability engineering , power flow , selection (genetic algorithm) , reduction (mathematics) , power (physics) , engineering , electrical engineering , mathematics , geometry , physics , quantum mechanics , artificial intelligence
This paper proposes an optimal operation for coordinated Battery Energy Storage (BES) and wind generation in a day-ahead market under wind uncertainty. A comprehensive AC Optimal Power Flow (AC OPF) model was established to incorporate wind and storage into a power system. To take into account wind forecast uncertainty, preprocessing technique, time series model, and fast forward selection method were applied for scenario generation and reduction processes. Tests were performed on a modified IEEE 14-bus system and the results show that the use of BESs is an alternative to guarantee a more efficient and flexible operation of wind power plants.